Triple
T28689792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Gayane Church |
E729244
|
entity |
| Predicate | hasSacristies |
P59036
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: true | Statement: [Saint Gayane Church, hasSacristies, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSacristies Context triple: [Saint Gayane Church, hasSacristies, true]
-
A.
hasSacristy
chosen
Indicates that a religious building includes or is associated with a sacristy (a room where sacred vessels, vestments, and liturgical items are kept and prepared).
-
B.
hasBaptistery
Indicates that an entity includes, contains, or is associated with a baptistery as part of its structure or facilities.
-
C.
hasChapels
Indicates that one entity contains, includes, or is associated with one or more chapels.
-
D.
hasProCathedral
Indicates that one entity serves as or possesses a pro-cathedral (a church temporarily acting as a cathedral) in relation to another entity.
-
E.
hasClericalStructure
Indicates that an entity possesses an organized clerical or administrative hierarchy or framework.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f043e60b6c8190ac2cd042e77fe6e9 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 28, 2026, 5:35 a.m.